

import string
from math import logaa
def 							__SCREAMING_SNAKE_CASE     (   a__    :   str			,a__    :   str       )					->				int:
	__A :			Optional[int]		    =			document.translate(
	    str.maketrans(""""""			,""""""			,string.punctuation       )       ).replace("""\n"""			,""""""       )
	__A :			List[Any]		    =			document_without_punctuation.split(""" """       )  # word tokenization
	return len([word for word in tokenize_document if word.lower() == term.lower()]       )
def 							__SCREAMING_SNAKE_CASE     (   a__    :   str			,a__    :   str       )					->				tuple[int, int]:
	__A :			Any		    =			corpus.lower().translate(
	    str.maketrans(""""""			,""""""			,string.punctuation       )       )  # strip all punctuation and replace it with ''
	__A :			Tuple		    =			corpus_without_punctuation.split("""\n"""       )
	__A :			Tuple		    =			term.lower()
	return (len([doc for doc in docs if term in doc]       ), len(a__       ))
def 							__SCREAMING_SNAKE_CASE     (   a__    :   int			,a__    :   int			,a__    :   List[str]=False       )					->				float:
	if smoothing:
		if n == 0:
			raise ValueError("""log10(0) is undefined."""       )
		return round(1 + logaa(n / (1 + df)       )			,3       )

	if df == 0:
		raise ZeroDivisionError("""df must be > 0"""       )
	elif n == 0:
		raise ValueError("""log10(0) is undefined."""       )
	return round(logaa(n / df       )			,3       )







def 							__SCREAMING_SNAKE_CASE     (   a__    :   int			,a__    :   int       )					->				float:
	return round(tf * idf			,3       )







"""simple docstring"""



import cva
import numpy as np




class 		a_    :







    def __init__(      self      :							Optional[Any]  ,       __UpperCamelCase      :							float  ,       __UpperCamelCase      :							int  )		->Dict:






        '''simple docstring'''






        if k in (0.0_4, 0.0_6):
            _UpperCAmelCase        = k
            _UpperCAmelCase        = window_size
        else:
            raise ValueError("""invalid k value"""  )







    def __str__(      self      :							Tuple  )		->str:






        '''simple docstring'''






        return str(self.k  )







    def   _snake_case       (      self      :							str  ,       __UpperCamelCase      :							str  )		->tuple[cva.Mat, list[list[int]]]:






        '''simple docstring'''






        _UpperCAmelCase        = cva.imread(__UpperCamelCase  ,       0  )
        _UpperCAmelCase     ,_UpperCAmelCase        = img.shape
        _UpperCAmelCase        = []
        _UpperCAmelCase        = img.copy()
        _UpperCAmelCase        = cva.cvtColor(__UpperCamelCase  ,       cva.COLOR_GRAY2RGB  )
        _UpperCAmelCase     ,_UpperCAmelCase        = np.gradient(__UpperCamelCase  )
        _UpperCAmelCase        = dx**2
        _UpperCAmelCase        = dy**2
        _UpperCAmelCase        = dx * dy
        _UpperCAmelCase        = 0.0_4
        _UpperCAmelCase        = self.window_size // 2
        for y in range(__UpperCamelCase  ,       h - offset  ):
            for x in range(__UpperCamelCase  ,       w - offset  ):
                _UpperCAmelCase        = ixx[
                    y - offset : y + offset + 1, x - offset : x + offset + 1
                ].sum()
                _UpperCAmelCase        = iyy[
                    y - offset : y + offset + 1, x - offset : x + offset + 1
                ].sum()
                _UpperCAmelCase        = ixy[
                    y - offset : y + offset + 1, x - offset : x + offset + 1
                ].sum()

                _UpperCAmelCase        = (wxx * wyy) - (wxy**2)
                _UpperCAmelCase        = wxx + wyy
                _UpperCAmelCase        = det - k * (trace**2)
                # Can change the value
                if r > 0.5:
                    corner_list.append([x, y, r]  )
                    color_img.itemset((y, x, 0)  ,       0  )
                    color_img.itemset((y, x, 1)  ,       0  )
                    color_img.itemset((y, x, 2)  ,       2_55  )
        return color_img, corner_list


if __name__ == "__main__":
 a       :						List[Any]       		=		HarrisCorner(0.04, 3)
 a		,			a       :						List[Any]       		=		edge_detect.detect('''path_to_image''')
 cva.imwrite('''detect.png''', color_img)